Motion generation for humanoid robots with automatically derived behaviors

In this paper, we present a method for motion generation from automatically derived behaviors for a humanoid robot. Behaviors are derived automatically by using the underlying spatio-temporal structure in motion. The derived behaviors are stored in a robot's long-term (or procedural) memory. Ne...

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Bibliographic Details
Published inSMC'03 Conference Proceedings. 2003 IEEE International Conference on Systems, Man and Cybernetics. Conference Theme - System Security and Assurance (Cat. No.03CH37483) Vol. 2; pp. 1816 - 1821 vol.2
Main Authors Erol, D., Park, J., Turkay, E., Kawamura, K., Jenkins, O.C., Mataric, M.J.
Format Conference Proceeding
LanguageEnglish
Published IEEE 2003
Subjects
Cognitive robotics
Communication system control
Control systems
Humanoid robots
Humans
Intelligent robots
Robot control
Robot sensing systems
Robotics and automation
Speech recognition
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Summary:In this paper, we present a method for motion generation from automatically derived behaviors for a humanoid robot. Behaviors are derived automatically by using the underlying spatio-temporal structure in motion. The derived behaviors are stored in a robot's long-term (or procedural) memory. New motions are generated from the derived ones with a search mechanism. In our approach, vision, speech recognition, short-term memory and decision-making operate in parallel with long-term memory in a unique architecture. This organization is intended for autonomous robot control and learning.
ISBN:9780780379527
0780379527
ISSN:1062-922X
2577-1655
DOI:10.1109/ICSMC.2003.1244675